microsoft/FLAML
Voir sur GitHubMake predict() return "Undetected" in the classification estimator if confidence is below threshold
Open
#355 ouverte le 23 déc. 2021
enhancementhelp wanted
Métriques du dépôt
- Stars
- (4 364 stars)
- Métriques de merge PR
- (Métriques PR en attente)
Description
Use case: flower recognition Input: flower photo Output: flower name
Right now if you input a flower that is not among the classes, predict() will return the one closest to it which is wrong. The right would be telling the user that it was not recognized. One way to do it is making the estimator produce a confidence float [0-1]. Then make predict() accept a confidence threshold along with the data, which if not surpassed returns "Unrecognized".